Diwas kunwar
@diwaskunwar
Machine Learning Engineer specializing in production GenAI systems, MLOps, and full-stack ML infrastructure.
What I'm looking for
I am a Machine Learning Engineer with hands-on experience designing and deploying end-to-end ML systems, from server setup and microservices to model fine-tuning and production deployments. I have built Agentic RAG pipelines, recommendation engines, computer vision APIs, and robust infrastructure using FastAPI, MongoDB, Qdrant, MinIO, PyTorch, LangChain, and LlamaIndex.
I have delivered domain-specific LLM fine-tuning and evaluation, modular microservice architectures, and data processing pipelines for scalable production use. My work includes architecting agentic multi-domain chatbots, legal AI assistants with citation-aware retrieval, adaptive learning platforms, and automated data digitization systems that emphasize reliability, traceability, and low hallucination.
Experience
Work history, roles, and key accomplishments
ML Engineer
Next AI
Jun 2024 - Present (1 year 8 months)
Designed and deployed end-to-end ML systems and infrastructure using MongoDB, Qdrant, MinIO, and FastAPI; architected Agentic RAG pipelines enabling context-aware retrieval for production GenAI chatbots and managed LLM fine-tuning to production.
Python & ML Intern
Inspiring Lab
Nov 2023 - Mar 2024 (4 months)
Built data pipelines for large-scale record collection and processing for model training and developed dashboards for performance tracking to support ML experimentation.
Education
Degrees, certifications, and relevant coursework
Kathmandu College of Technology
Bachelor of Science, Computer Science
2019 - 2024
Completed a Bachelor of Science in Computer Science with coursework and projects focused on machine learning, systems, and full-stack ML infrastructure.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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